Share Email Print
cover

Proceedings Paper

Cerebral microbleed segmentation from susceptibility weighted images
Author(s): Snehashis Roy; Amod Jog; Elizabeth Magrath; John A. Butman; Dzung L. Pham
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Cerebral microbleeds (CMB) are a common marker of traumatic brain injury. Accurate detection and quantification of the CMBs are important for better understanding the progression and prognosis of the injury. Previous microbleed detection methods have suffered from a high rate of false positives, which is time consuming to manually correct. In this paper, we propose a fully automatic, example-based method to segment CMBs from susceptibility-weighted (SWI) scans, where examples from an already segmented template SWI image are used to detect CMBs in a new image. First, multiple radial symmetry transforms (RST) are performed on the template SWI to detect small ellipsoidal structures, which serve as potential microbleed candidates. Then 3D patches from the SWI and its RSTs are combined to form a feature vector at each voxel of the image. A random forest regression is trained using the feature vectors, where the dependent variable is the binary segmentation voxel of the template. Once the regression is learnt, it is applied to a new SWI scan, whose feature vectors contain patches from SWI and its RSTs. Experiments on 26 subjects with mild to severe brain injury show a CMB detection sensitivity of 85:7%, specificity 99:5%, and a false positive to true positive ratio of 1:73, which is competitive with published methods while providing a significant reduction in computation time.

Paper Details

Date Published: 20 March 2015
PDF: 7 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94131E (20 March 2015); doi: 10.1117/12.2082237
Show Author Affiliations
Snehashis Roy, Ctr. for Neuroscience and Regenerative Medicine (United States)
Henry M. Jackson Foundation (United States)
Amod Jog, Johns Hopkins Univ. (United States)
Elizabeth Magrath, Ctr. for Neuroscience and Regenerative Medicine (United States)
Henry M. Jackson Foundation (United States)
John A. Butman, Ctr. for Neuroscience and Regenerative Medicine (United States)
National Institute of Health (United States)
Dzung L. Pham, Ctr. for Neuroscience and Regenerative Medicine (United States)
Henry M. Jackson Foundation (United States)


Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

© SPIE. Terms of Use
Back to Top